|
|
Absolute deviation, 绝对离差
% h" a* `" D& v3 v3 z5 ~Absolute number, 绝对数
% \4 h. z) y( T# A1 I+ F+ ?+ x* QAbsolute residuals, 绝对残差6 Q3 B t' y* b+ I6 i
Acceleration array, 加速度立体阵
, C" w+ a* Z! h6 ^' MAcceleration in an arbitrary direction, 任意方向上的加速度- ]0 ~7 Y6 l& k
Acceleration normal, 法向加速度
( C! p; i. y( ZAcceleration space dimension, 加速度空间的维数
# n4 Q4 `$ A( M- P' Y4 c) ]Acceleration tangential, 切向加速度6 a% m- @; {) U( H
Acceleration vector, 加速度向量
6 i8 |6 c" p: vAcceptable hypothesis, 可接受假设
# X/ B9 M) H0 J" h- vAccumulation, 累积7 r& h, k" b* h1 e
Accuracy, 准确度4 I. s) a1 `% z8 u; v; B g2 a
Actual frequency, 实际频数' |- U r2 q! P" f. ]
Adaptive estimator, 自适应估计量
) G0 Z# Z4 C) t- X: K, PAddition, 相加
8 U9 e3 Q2 h) W2 ?# [Addition theorem, 加法定理# g6 N1 F0 F% ~' Z, w* }0 J5 J
Additivity, 可加性/ U* u( O( W/ f* d6 F. k
Adjusted rate, 调整率
/ X! w$ k+ l0 _Adjusted value, 校正值( L5 O& ~% t* r0 S
Admissible error, 容许误差) E. B1 G/ G0 m p: V
Aggregation, 聚集性: {, r: K9 \& q8 S, F- Y9 W8 k
Alternative hypothesis, 备择假设; V7 U9 q; U. Z5 @
Among groups, 组间
6 J3 s# G, |6 g/ e3 ^- D% E/ YAmounts, 总量
1 P( Y9 |/ i7 c0 o" S# aAnalysis of correlation, 相关分析* |& \! U; m6 g
Analysis of covariance, 协方差分析6 H0 T! X0 M2 y, `: ]. }, A
Analysis of regression, 回归分析; D* T, v/ X7 B: W) w
Analysis of time series, 时间序列分析5 {5 B2 ?2 I, F' ? V2 @
Analysis of variance, 方差分析6 f$ W3 M: p; h1 g8 R1 Z" w
Angular transformation, 角转换0 U6 D8 T0 f+ @- D9 {, }$ L. D
ANOVA （analysis of variance）, 方差分析
, x% r( S. n; IANOVA Models, 方差分析模型
5 w6 P' S; H, g6 A2 t. r2 p1 }Arcing, 弧/弧旋: S, @+ F/ o/ l: n [4 a
Arcsine transformation, 反正弦变换
) f* t3 U& U2 O0 L/ |Area under the curve, 曲线面积7 P- G$ `- i+ i) E1 f$ {
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 ; R/ x# z. _, b: K7 G
ARIMA, 季节和非季节性单变量模型的极大似然估计 , c; q/ v4 Z! ]) v% ~7 B
Arithmetic grid paper, 算术格纸2 R) ^' _, {$ T0 S# x
Arithmetic mean, 算术平均数% C: m6 ~4 @, v. T Z& A+ V
Arrhenius relation, 艾恩尼斯关系# I$ U, X- V$ [- k, ~& \2 S
Assessing fit, 拟合的评估
K+ y# k* p0 P' [" U& CAssociative laws, 结合律0 I( f' b5 P8 r9 |8 E8 R
Asymmetric distribution, 非对称分布 M1 x) x( s' B" }, T
Asymptotic bias, 渐近偏倚
2 Q9 e$ T" g# }" g' w6 lAsymptotic efficiency, 渐近效率# G L4 y$ w5 ?* N7 `: ]
Asymptotic variance, 渐近方差( A7 e/ b) O) q
Attributable risk, 归因危险度
" d, G6 j0 E- d! V6 H9 a! NAttribute data, 属性资料. D* i7 ?. q! h( }; t
Attribution, 属性( E( I* u6 Z* R% W7 \
Autocorrelation, 自相关/ n6 d7 ~ V2 e* P' u; X
Autocorrelation of residuals, 残差的自相关4 q0 z$ r! S5 S; D/ B# V8 J; {
Average, 平均数
5 w( H, H6 f' I. w9 p- aAverage confidence interval length, 平均置信区间长度
+ v c" |2 O; n% ZAverage growth rate, 平均增长率% v' q" {2 e6 X" W% x; V
Bar chart, 条形图8 i) [0 Q( k7 l! y
Bar graph, 条形图 o, C4 H; i4 w6 l
Base period, 基期7 @: [ ^2 Y, q
Bayes' theorem , Bayes定理% B- t# l j {! e |8 K
Bell-shaped curve, 钟形曲线+ C: _6 Y$ s8 C# ]) u6 Q" O
Bernoulli distribution, 伯努力分布: n& y! i6 ~3 @0 Y) o' T2 K' M
Best-trim estimator, 最好切尾估计量* P3 [3 P) ~1 \
Bias, 偏性
1 x7 z: t3 Y% D( \Binary logistic regression, 二元逻辑斯蒂回归
% I+ y+ ^6 ^' a8 S- v0 aBinomial distribution, 二项分布1 I3 g* w c& h, V, u
Bisquare, 双平方+ `. b5 [' } c7 b
Bivariate Correlate, 二变量相关
1 O# x p; i+ g: Z1 rBivariate normal distribution, 双变量正态分布
& L- d# |# Q* Q. ]Bivariate normal population, 双变量正态总体0 q3 W; q& q9 C) r
Biweight interval, 双权区间. B8 M: T5 B4 Y! H* d, {6 C
Biweight M-estimator, 双权M估计量
5 A* D3 e/ P; jBlock, 区组/配伍组
( k+ j$ n/ E7 S* x! u' G' P7 HBMDP(Biomedical computer programs), BMDP统计软件包
( [: k: Q1 [. _Boxplots, 箱线图/箱尾图$ V1 m9 ~# _( x5 w% W$ u
Breakdown bound, 崩溃界/崩溃点" k; Q/ A: q3 ? U: e. e
Canonical correlation, 典型相关 \2 O( u7 X m+ J
Caption, 纵标目% X; e7 p: p# Y5 Z M/ S$ }
Case-control study, 病例对照研究
% f$ c4 [# T. K5 R$ r6 UCategorical variable, 分类变量" \! n& a2 q# J1 K
Catenary, 悬链线! Z3 p9 f' u0 l! N1 m R
Cauchy distribution, 柯西分布
2 b1 \' n* }/ y# MCause-and-effect relationship, 因果关系
9 c5 H- [0 }! N% H2 dCell, 单元4 d0 }) Z; N: a! o N
Censoring, 终检
7 G" c s6 T# G! D. `6 d9 Y8 YCenter of symmetry, 对称中心
6 U! k0 E- o0 }4 i' R$ nCentering and scaling, 中心化和定标
g0 v' C# T! H/ PCentral tendency, 集中趋势/ y+ w8 R0 B v
Central value, 中心值# B+ O0 L8 T' B5 S( q
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
9 i5 ^$ T" }# G" }6 C, D- kChance, 机遇0 Q' n% j6 {) N8 Z% T8 K) P. P
Chance error, 随机误差+ \+ ? G- y4 o- X+ E" ]
Chance variable, 随机变量
' z- z: ~1 m8 O1 P) h( R: SCharacteristic equation, 特征方程
# z: @7 t1 h) Q0 i% p7 FCharacteristic root, 特征根
. @! j/ R6 w9 T" ECharacteristic vector, 特征向量. e) {' e8 n5 H ~" ]
Chebshev criterion of fit, 拟合的切比雪夫准则
, c3 H2 [$ r0 y c- d, ^- FChernoff faces, 切尔诺夫脸谱图
3 U$ L. W+ }8 y' B5 kChi-square test, 卡方检验/χ2检验( S/ Z% S# k. j$ N
Choleskey decomposition, 乔洛斯基分解8 r }1 H/ L' c7 @
Circle chart, 圆图 3 ^2 P8 ^7 Y" R9 M6 Q, t0 z3 N
Class interval, 组距
5 ]# h7 N: C+ L3 V, QClass mid-value, 组中值
* m* Y! L: m: x% xClass upper limit, 组上限
1 S7 X: B+ ^2 eClassified variable, 分类变量
4 ~. Q; T* }. m' E; u( n& vCluster analysis, 聚类分析
( C# o4 x' j" `9 y4 U/ ^. q1 \Cluster sampling, 整群抽样# o: E6 L5 b9 |3 y, W8 _8 V
Code, 代码% U& [1 v k, X) Z/ K) J0 ]
Coded data, 编码数据
+ k) a2 e6 V" TCoding, 编码$ q) H0 ^0 _7 _8 [# Z
Coefficient of contingency, 列联系数9 k/ N; e6 N) i* u2 y- w) X
Coefficient of determination, 决定系数! z9 T9 |$ F" |6 E
Coefficient of multiple correlation, 多重相关系数
G: q- G" [+ y1 x- Z# u; p* ?" l$ OCoefficient of partial correlation, 偏相关系数2 Q' T0 u U* A1 b# b( f5 H4 x
Coefficient of production-moment correlation, 积差相关系数 i0 j) \% f4 Q( a1 X& |
Coefficient of rank correlation, 等级相关系数& j6 Z, R- m8 ^' C* [
Coefficient of regression, 回归系数
3 u. J" W9 M- v% cCoefficient of skewness, 偏度系数; x f) ]8 o* w* L9 L3 A, s
Coefficient of variation, 变异系数
) |- _" m2 v Y8 j) B/ U7 dCohort study, 队列研究1 T9 U3 ? h5 z) T
Column, 列2 C! w# N; ?4 N
Column effect, 列效应
1 S. {' o$ f F8 QColumn factor, 列因素
% z7 x' d W% D, ]$ ^) HCombination pool, 合并- Q7 [ b6 Q1 y2 ~; j
Combinative table, 组合表
# S9 { J q+ _% T9 O" ~9 y- bCommon factor, 共性因子
8 A+ u2 }- P) C6 CCommon regression coefficient, 公共回归系数5 K2 ^; y5 }3 I' ?# a5 [
Common value, 共同值% V+ w1 S$ T0 f- v# f3 S# Z" }
Common variance, 公共方差
8 H- _# N U" D/ HCommon variation, 公共变异% y! y3 W, P/ H3 ~6 i3 ^
Communality variance, 共性方差
" v# L1 @) i8 c( _( b2 I5 E0 n5 m6 H: NComparability, 可比性
1 g% ~4 N$ H. t. a, B% H" CComparison of bathes, 批比较% D7 z% I* t( g: k* f( [3 R
Comparison value, 比较值: C9 c' R/ ~2 Z
Compartment model, 分部模型( [! k {& i- e9 a$ t
Compassion, 伸缩
2 t( }8 M: q" j" z6 cComplement of an event, 补事件
+ X4 k4 M! M( Y5 g0 SComplete association, 完全正相关
7 P( f4 U, {$ y3 SComplete dissociation, 完全不相关
4 b" c. Z+ @' v" R& z& ^Complete statistics, 完备统计量2 X( z% ^- j9 o% `) a9 Y- y
Completely randomized design, 完全随机化设计4 Y% i: I7 s5 X3 P" `! m
Composite event, 联合事件
2 P& V2 [. u$ L" B3 HComposite events, 复合事件* X. P$ {7 `7 `! U
Concavity, 凹性
9 h1 I" G8 k" @3 x4 E; [% ~Conditional expectation, 条件期望9 M! \6 l" D- e! S$ L# D! N2 c
Conditional likelihood, 条件似然" s e& \, X4 j# }: s: R* N& Q( g) Y
Conditional probability, 条件概率
! |! W* V: ~8 K NConditionally linear, 依条件线性0 y# j% _4 V# z+ f$ Z% v
Confidence interval, 置信区间
' J: F2 B$ y% }& aConfidence limit, 置信限) H$ h. n% c2 Y0 C
Confidence lower limit, 置信下限; h3 j; N/ P; s; c; H. C ~( {
Confidence upper limit, 置信上限3 q, v' ]3 x6 V' f' v6 O" {" `8 P
Confirmatory Factor Analysis , 验证性因子分析
& q3 M4 i4 b' Z/ ^9 k/ F- X3 NConfirmatory research, 证实性实验研究
! ] D/ q V6 w S+ L UConfounding factor, 混杂因素
& D8 C2 h" c6 X' q8 f0 ^0 o- wConjoint, 联合分析6 [- m8 C7 u* M6 b5 u* \
Consistency, 相合性6 V) S/ K2 t* Z9 f
Consistency check, 一致性检验
1 Q% ~* E$ y$ L9 K6 J6 VConsistent asymptotically normal estimate, 相合渐近正态估计% }0 R" p8 s" @* V- d' n0 b
Consistent estimate, 相合估计
9 k, a ], ^3 S7 r7 |Constrained nonlinear regression, 受约束非线性回归* [3 ~, n* d" M6 G; F
Constraint, 约束5 D% Z" Q* s: {$ _, e9 N
Contaminated distribution, 污染分布4 e& O3 f4 d0 c& U
Contaminated Gausssian, 污染高斯分布7 d2 U) R% x5 e% p! N/ A1 O1 f4 z
Contaminated normal distribution, 污染正态分布# n7 ^0 ?* W' l' |
Contamination, 污染
- c% p# I; X5 ]* t+ c: cContamination model, 污染模型8 w! S. P, t# [
Contingency table, 列联表" X* r. d; y: ~+ b& h. @
Contour, 边界线
; Z2 f3 M: U' k9 W" y* D2 HContribution rate, 贡献率 @6 j4 D2 R2 X0 B7 z. V% I
Control, 对照1 J A7 {8 b8 T! l8 B
Controlled experiments, 对照实验
}; S* S5 N* \) p! F/ DConventional depth, 常规深度* x" T- `7 H' _: \- u, M3 Z
Convolution, 卷积
6 t) ]9 e# {, g$ nCorrected factor, 校正因子! m; e* D" H' ~" I# u' j0 Y
Corrected mean, 校正均值0 z: Q# s* L; {7 d5 f
Correction coefficient, 校正系数
! T; G1 ^2 A* O# c& W w3 m0 vCorrectness, 正确性8 ?6 E! A' s `# P1 P
Correlation coefficient, 相关系数
" P, k1 G/ F4 r! m6 Q3 qCorrelation index, 相关指数' V+ b6 o; ` c8 X5 Y- J
Correspondence, 对应
* T5 C9 J$ K; I) `: d& TCounting, 计数
* _1 ^5 d& {9 ICounts, 计数/频数
- a; L3 m- v7 B; h t) X+ D( N2 RCovariance, 协方差
! j9 ^4 V" a7 m0 I i0 OCovariant, 共变
g: o6 ^9 S; I/ ZCox Regression, Cox回归/ _1 u. L) e% J! u3 A! a
Criteria for fitting, 拟合准则# N% W. O' i# }/ n. U
Criteria of least squares, 最小二乘准则
" ], q1 g4 N9 U0 |1 B5 w1 J- XCritical ratio, 临界比5 s, I/ B2 c% G. v) s4 |
Critical region, 拒绝域, h% T/ T3 }4 t1 p! @/ [2 l& v
Critical value, 临界值
, I0 Z, L- o9 W8 S3 ]; [Cross-over design, 交叉设计
# g- c; j+ T8 W3 h/ X" b j! JCross-section analysis, 横断面分析
2 C6 y2 j, ?- j) b; f, R4 s. p4 }Cross-section survey, 横断面调查# h; k: ^0 q7 q
Crosstabs , 交叉表 4 l/ O' Y7 w' W- w8 R
Cross-tabulation table, 复合表
! P5 w( d8 J' i t2 M1 Z dCube root, 立方根
1 E q' F% L" t, _# k$ uCumulative distribution function, 分布函数
. ]1 i3 C, i8 K) s" G( J( wCumulative probability, 累计概率
) Q {2 c, I4 f& z# z# mCurvature, 曲率/弯曲
0 M0 |$ l1 w. {# d6 C; @! F u) `Curvature, 曲率7 X1 F) ?" g7 @, p, } u$ R
Curve fit , 曲线拟和
' n7 C" |5 l5 ]% {. HCurve fitting, 曲线拟合, i! a! B- _+ Y+ C. J3 Q
Curvilinear regression, 曲线回归+ g; J! @5 C# [
Curvilinear relation, 曲线关系' x3 u A: V* U$ q( ^! f5 p
Cut-and-try method, 尝试法# [* F# C {* j4 R
Cycle, 周期- j1 B% i" q1 ^) Q5 V* Q/ x) s, P
Cyclist, 周期性: Q4 B9 z1 x! i/ }; ^5 D
D test, D检验
) r! p. Y& X$ V/ w: [% tData acquisition, 资料收集
) Q6 x) n! y' e: E2 y# vData bank, 数据库
. W: Z3 W: C+ {( m5 XData capacity, 数据容量
1 O. f- k; @) _0 d& k1 C$ w2 {Data deficiencies, 数据缺乏& i* Z8 f3 y. E: x4 s
Data handling, 数据处理, f9 A, \. _7 L) |. ?2 t( p( y
Data manipulation, 数据处理
3 L2 {: |/ x1 k# pData processing, 数据处理
8 [5 H* @5 a- N$ ^9 l3 jData reduction, 数据缩减
9 l6 ? Z; B- a% |3 {Data set, 数据集
7 x4 A3 Z) ]; L( K9 e P8 Y& h+ a HData sources, 数据来源
! I5 }1 W/ e. lData transformation, 数据变换4 Z6 G; c4 G+ w1 Y0 a6 d% |
Data validity, 数据有效性
- p! O w ^" \; e# Y' t# M+ s1 t" f4 ]Data-in, 数据输入3 z. S" g8 J1 [' R* b: H
Data-out, 数据输出
9 f) U9 ~6 e2 C- I: l9 d d1 ^Dead time, 停滞期
+ R2 v( n5 i R) I8 W: Y0 a6 I) FDegree of freedom, 自由度+ x3 ]- X; P4 ~0 w
Degree of precision, 精密度
. P$ k' `" R) z# s5 u2 dDegree of reliability, 可靠性程度
( Z+ R; ?* |2 t% I& B9 wDegression, 递减
- I `* n7 y) M+ T& j2 ]Density function, 密度函数/ V& Z/ d0 S$ g0 j, ^) ?
Density of data points, 数据点的密度* n3 U, z; ~9 F
Dependent variable, 应变量/依变量/因变量
5 }) p6 [) B# f5 f+ ?Dependent variable, 因变量
5 X8 S" ~* Q* g) L8 uDepth, 深度% R5 O% r$ B/ Z. Y' |( u
Derivative matrix, 导数矩阵
% C% L' q' @: d& ~. JDerivative-free methods, 无导数方法# K6 U0 L8 G9 J* ^) }9 H
Design, 设计. s% v5 M `8 {1 J- q* H! r
Determinacy, 确定性1 l8 v4 ]/ G8 \) z( E1 V3 c
Determinant, 行列式
4 [7 m( y; M9 K* T. K' ODeterminant, 决定因素9 j" d, J$ L+ ]1 t' k8 e
Deviation, 离差: ~9 {. o' E# M; ~: S# Z I/ E
Deviation from average, 离均差8 U# N( @+ y2 `! D2 |
Diagnostic plot, 诊断图
0 S. u# }. H5 y! L, j8 m/ cDichotomous variable, 二分变量
+ u% Z+ g+ w2 T7 T, G2 m7 Q8 Z- i lDifferential equation, 微分方程4 e1 e/ _# }' D0 k
Direct standardization, 直接标准化法: K6 u9 w, J9 e/ ^6 X6 |
Discrete variable, 离散型变量
" L4 m' F; N+ j# T1 QDISCRIMINANT, 判断 ! k. Q7 ?7 N( l* |% V( t
Discriminant analysis, 判别分析
* b0 e5 K: \& g0 [Discriminant coefficient, 判别系数
1 q* K" J8 S' U i1 ], @5 zDiscriminant function, 判别值+ r g6 q, B9 y) F' f! U) X# `
Dispersion, 散布/分散度
+ ] @) U* l C/ p, xDisproportional, 不成比例的
o# ]( i7 h w8 }& ?Disproportionate sub-class numbers, 不成比例次级组含量
! s7 k( r, b; L' }2 FDistribution free, 分布无关性/免分布8 ]2 y* w5 N3 v0 C! s- @+ M
Distribution shape, 分布形状
* `" ]% S" m1 U' [1 [3 LDistribution-free method, 任意分布法- ~# F2 I! t1 f W
Distributive laws, 分配律
7 a: y- ?% g) r1 fDisturbance, 随机扰动项
6 j1 X o+ v, G! c/ P7 xDose response curve, 剂量反应曲线# n) {0 _4 x; k E0 L, B
Double blind method, 双盲法5 j9 @9 k$ ~6 {( ]9 P& P
Double blind trial, 双盲试验2 T. v* p) m# U' T; h6 @; T4 \
Double exponential distribution, 双指数分布2 h; v7 G, n' D3 G. i
Double logarithmic, 双对数
' b6 i( ]* L% c9 sDownward rank, 降秩
; S( g1 L+ A# T, ]) ZDual-space plot, 对偶空间图( S1 A* [2 c; S9 V7 @
DUD, 无导数方法
3 C" l3 V+ U6 W5 F# ~8 d9 CDuncan's new multiple range method, 新复极差法/Duncan新法
$ O/ O# N5 |+ nEffect, 实验效应
' A* r" {: n* }& A1 q( Q" XEigenvalue, 特征值
; i) P- {# F- `2 Z. U: W9 @Eigenvector, 特征向量
' }" O5 ]( T) {0 O, a5 rEllipse, 椭圆( Z3 T( f" _9 V
Empirical distribution, 经验分布
" Y8 {, x# j/ i8 a8 MEmpirical probability, 经验概率单位( m0 E' T- _, F1 K. u2 j# ^
Enumeration data, 计数资料
" M- B% m2 |: q7 ~$ WEqual sun-class number, 相等次级组含量
# e k. O( p4 c/ ?+ H3 J2 \Equally likely, 等可能
' F5 o6 V6 _! a: Z: qEquivariance, 同变性
z3 Z* j) A/ ?/ H5 d+ K E, J% \1 SError, 误差/错误
4 B! ^0 M$ C, U3 t( S9 A2 |6 [( n$ N6 [Error of estimate, 估计误差
" Y$ Y$ l! G6 _9 iError type I, 第一类错误
5 d; a: F+ a: P4 g! LError type II, 第二类错误
+ u" d- L* U2 u' M% }Estimand, 被估量
$ u# c& l6 g7 ]0 M' ~3 U* uEstimated error mean squares, 估计误差均方
+ R* e, k$ r9 A9 ]Estimated error sum of squares, 估计误差平方和
( h% Q! F \2 x2 o+ kEuclidean distance, 欧式距离" u8 n9 b* E. V# `
Event, 事件1 n2 ^! [" _" B: H1 V5 T
Event, 事件
0 J4 d# B& \: ]Exceptional data point, 异常数据点
! o# s8 ?) v9 yExpectation plane, 期望平面
3 a' a/ ?3 e# z2 FExpectation surface, 期望曲面: W8 g5 g, A) D& w j
Expected values, 期望值
; J1 B ^7 A! ?Experiment, 实验
0 @9 k' p7 m- X; a) l6 v" lExperimental sampling, 试验抽样( A# D- o, L* ~4 x
Experimental unit, 试验单位
/ x; o8 ]- w' `$ ~Explanatory variable, 说明变量" {3 u! f' h# u3 @5 z0 X5 X
Exploratory data analysis, 探索性数据分析
# v0 A% @# a7 D$ C# FExplore Summarize, 探索-摘要9 Q2 O) V6 ?; ^0 d* [2 O
Exponential curve, 指数曲线1 o" I# h; b0 i* a, P
Exponential growth, 指数式增长
. q( Y! I" R) [2 U0 l& @EXSMOOTH, 指数平滑方法 9 ?) {6 A" {, ^3 Z0 r
Extended fit, 扩充拟合5 u; k8 ~" s' o4 U8 C1 p. j
Extra parameter, 附加参数
# B) C; i3 F0 N: V( `9 GExtrapolation, 外推法# p: w& U: p6 I
Extreme observation, 末端观测值! o9 @9 U* h1 H
Extremes, 极端值/极值% s, W. m6 f T2 h! {
F distribution, F分布
6 O" J g) k- P8 q) S tF test, F检验
- b c% N/ Z/ ^, f$ J8 l! m9 L7 \Factor, 因素/因子: G% A5 Y- ~8 _
Factor analysis, 因子分析; v( h$ D9 B4 m5 w* t" ^) b
Factor Analysis, 因子分析7 X; u/ q, \$ O" R
Factor score, 因子得分
+ { T) R2 c ^ P/ s5 ^Factorial, 阶乘. q1 K. o" e* @& J8 z0 w# f
Factorial design, 析因试验设计) R9 L: Z- c7 X0 p# c- L j
False negative, 假阴性& h& e1 A) d7 D
False negative error, 假阴性错误
5 ^7 o. G5 T7 u2 v! m3 BFamily of distributions, 分布族
! r$ n4 ?4 w. W" c0 FFamily of estimators, 估计量族8 F# X8 B" @: K# L1 @+ g: j8 R
Fanning, 扇面& B$ v: m3 ]% M$ }$ S
Fatality rate, 病死率* E6 y; G& c' G" Q' m' a, I b
Field investigation, 现场调查
, |. i! I" x0 x% bField survey, 现场调查1 L. H5 I. q/ R" A z
Finite population, 有限总体3 t4 ~ C! ~7 [+ I7 j3 C
Finite-sample, 有限样本9 I* M }: u' ~3 F2 r$ s& M
First derivative, 一阶导数! \7 J9 e: E, S; s$ y
First principal component, 第一主成分
( Z: a3 U' c; q" VFirst quartile, 第一四分位数
) K- A' k; w" n# r. Y3 sFisher information, 费雪信息量) h7 p# C+ a, J
Fitted value, 拟合值1 Q3 f9 B. u3 F. m# P9 b( {8 p& m" W
Fitting a curve, 曲线拟合. q2 V" u% d$ z5 B/ b! ^
Fixed base, 定基
; v6 h0 U, X t! R. qFluctuation, 随机起伏
2 o p& ]2 C+ u; Q# Q1 g$ j0 V# yForecast, 预测0 s) q5 _5 t. q2 _3 o
Four fold table, 四格表
( B6 s& _/ V' h" S6 l9 a' eFourth, 四分点! H1 X c; t8 v) w
Fraction blow, 左侧比率
# j. X% |) O0 N. E0 tFractional error, 相对误差2 C# E: Q9 j2 z! g" R" V2 {, C. T
Frequency, 频率# t6 a: r& j4 X
Frequency polygon, 频数多边图2 y4 O1 Y" x! [4 _( n8 L
Frontier point, 界限点- t- l8 R: t& b4 D+ w$ K1 _1 O+ R
Function relationship, 泛函关系
2 g, J1 D! G3 a6 |, |Gamma distribution, 伽玛分布
9 w2 T* {9 a( }! ^4 U- wGauss increment, 高斯增量% k# o8 `9 B0 W, i: M
Gaussian distribution, 高斯分布/正态分布
' X2 P( P% b& V# S& l1 WGauss-Newton increment, 高斯-牛顿增量
2 o# a9 K' t- O6 V9 y& hGeneral census, 全面普查
& }. R H' _; n* @GENLOG (Generalized liner models), 广义线性模型
9 w6 U. ~' M7 R+ e( l9 GGeometric mean, 几何平均数6 `+ s0 p) v9 S- l+ o6 v- v5 C* l
Gini's mean difference, 基尼均差
: x- [5 z% J% ^4 S4 Q) ?GLM (General liner models), 一般线性模型
1 C- ~* w* \" j9 F5 lGoodness of fit, 拟和优度/配合度
" k1 ]! q6 v6 O2 ?9 Q! P9 s4 i" oGradient of determinant, 行列式的梯度0 B# b; c& n! X+ R% }' Q( w& X
Graeco-Latin square, 希腊拉丁方
0 V+ X' n8 N8 HGrand mean, 总均值
6 W8 a9 x. V' q5 }$ }, d5 [Gross errors, 重大错误
4 k/ }6 L, E( t+ N2 c7 P) k+ FGross-error sensitivity, 大错敏感度
3 O. ~9 R) ]8 NGroup averages, 分组平均6 V! _& U0 g# I! f7 F5 O9 s
Grouped data, 分组资料. k2 s' O/ h9 I, {+ L
Guessed mean, 假定平均数
, V: a+ b% Y5 x+ W$ THalf-life, 半衰期
! s# }. \: I" j7 aHampel M-estimators, 汉佩尔M估计量
& ?& `! Q" c# O1 o3 e8 L8 p& VHappenstance, 偶然事件" w# ^- y) w* {4 G! D+ o; ?1 g
Harmonic mean, 调和均数
' j7 j# H7 J5 S5 X+ j4 aHazard function, 风险均数
. P1 B2 p6 p% }, q! I) WHazard rate, 风险率
; J, P5 ?) p5 g% W" i8 ^7 H/ WHeading, 标目 . U( n" S( m9 m s
Heavy-tailed distribution, 重尾分布
. ~8 z. N* x5 n( @# c3 iHessian array, 海森立体阵
F0 u' n3 C- }% SHeterogeneity, 不同质
8 Z; ]; m Z' h$ S# m7 U; N6 JHeterogeneity of variance, 方差不齐
% P1 {9 R8 t: K1 sHierarchical classification, 组内分组
: O) n9 ~ `, f" v! e4 A6 rHierarchical clustering method, 系统聚类法) |2 H" _/ c+ w
High-leverage point, 高杠杆率点 b& n1 y w9 l$ r
HILOGLINEAR, 多维列联表的层次对数线性模型
! |( e' i9 g4 S- BHinge, 折叶点
0 A7 b/ p1 R% r: G- @$ b5 C2 lHistogram, 直方图
7 p) | H1 ?( u/ sHistorical cohort study, 历史性队列研究
1 _$ f9 e, m, a% ^3 H) YHoles, 空洞) s1 @2 I; b, L" Z/ U" Q( ]
HOMALS, 多重响应分析
& A4 ~* l7 K& p4 G( @7 Y# ]Homogeneity of variance, 方差齐性
4 c( k# {) \# ZHomogeneity test, 齐性检验8 @6 r0 N1 \; c G8 X/ q" v
Huber M-estimators, 休伯M估计量; E3 E( d2 V4 g* i
Hyperbola, 双曲线) ?9 @$ a1 u4 _& q3 z2 \
Hypothesis testing, 假设检验* a: u5 q! [& b( J- k. w* h3 C5 v
Hypothetical universe, 假设总体
# g4 v0 f: \5 I( fImpossible event, 不可能事件' ~( P+ ?. M: v! \* w d s
Independence, 独立性1 V! a5 ?3 h8 M9 |
Independent variable, 自变量
9 S; d1 F1 j/ u; lIndex, 指标/指数 g! y5 L h5 w7 h; U& R1 c7 r# @. B: U
Indirect standardization, 间接标准化法
$ U3 ?- @9 }4 f8 FIndividual, 个体
5 R; a( J+ c$ e# {, C2 T( K2 h6 AInference band, 推断带+ @8 y X' o) D r. b( |
Infinite population, 无限总体
* B3 A o* n( t# [( O( _' `Infinitely great, 无穷大! s/ e( Y2 d# C7 ]7 h R
Infinitely small, 无穷小2 c. s4 s# S- y3 ^4 k
Influence curve, 影响曲线4 d; S! ~2 s1 j% n1 o- ~
Information capacity, 信息容量" R) `: R: y1 r( D7 s/ K
Initial condition, 初始条件
; b+ R. _4 h4 h" C! Y& {& UInitial estimate, 初始估计值! V' Y9 {+ k7 M: m( D$ ^4 L
Initial level, 最初水平* U4 o7 c) I X6 X
Interaction, 交互作用, m- C% M: \5 d6 l- |) J
Interaction terms, 交互作用项
% Q% w* o" V- [) W( Q# q& XIntercept, 截距$ z8 r# ?4 {& P; b0 L
Interpolation, 内插法% L7 e$ o2 N, d7 k
Interquartile range, 四分位距5 [, b, B6 E+ }. V3 a3 L
Interval estimation, 区间估计' M8 ]9 d9 K) ]/ f
Intervals of equal probability, 等概率区间
0 q* W: F: M4 o( e# vIntrinsic curvature, 固有曲率
% B, }/ Q9 N1 `" @; gInvariance, 不变性
. ]5 a9 e0 w3 ], S1 {; }5 cInverse matrix, 逆矩阵
3 k2 ^8 o+ w/ E# i; R2 ?Inverse probability, 逆概率
' c/ K" c1 B3 d& `9 ~( p% DInverse sine transformation, 反正弦变换9 D0 C* w9 C1 o( y9 l8 r
Iteration, 迭代 0 q8 T) P' G1 `0 e8 u+ o) n
Jacobian determinant, 雅可比行列式' B5 ?& @3 K6 W6 g/ S2 n9 l+ S( w- P" K
Joint distribution function, 分布函数
6 f( j. X ?6 QJoint probability, 联合概率
% m* R% U, E) H: y# _Joint probability distribution, 联合概率分布
& Z, S. C% I8 F- LK means method, 逐步聚类法
1 s/ P; p7 B, r% a' sKaplan-Meier, 评估事件的时间长度
9 P# H; s! \5 [/ a9 \; ?8 b4 fKaplan-Merier chart, Kaplan-Merier图
+ M0 ~2 D4 G% V3 I! Y5 \Kendall's rank correlation, Kendall等级相关% U5 Y; m' r) [
Kinetic, 动力学
' P% c: G. B2 oKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验9 M+ k) ~4 m7 e! K O; ^& i
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
+ i& i( U% b7 |0 J" {7 sKurtosis, 峰度
# v. E1 |3 @* a- Q! g3 a% {Lack of fit, 失拟
2 G% ^2 Z ~9 i2 H* S% L; JLadder of powers, 幂阶梯, X! S6 H) |. k$ v) t! _) r
Lag, 滞后
9 Y5 s* Y: V- a& l( ~# rLarge sample, 大样本& [! |' K9 H5 [5 H2 E
Large sample test, 大样本检验6 G: q3 J; |# N# \8 k g9 \ l# `: R _
Latin square, 拉丁方
. t" ~& p0 v/ L/ _Latin square design, 拉丁方设计# a( I2 k3 J B, O1 ^
Leakage, 泄漏/ G* g% m+ U6 V S Z
Least favorable configuration, 最不利构形# W; r8 V0 m# `) J
Least favorable distribution, 最不利分布
2 j+ U1 R3 d# x$ q% OLeast significant difference, 最小显著差法
9 W# q3 q, k1 S4 e7 ]Least square method, 最小二乘法
7 J& d7 ~3 k6 q+ R b8 s5 hLeast-absolute-residuals estimates, 最小绝对残差估计
$ B% x/ {2 I* f) ~4 i1 E5 n. {Least-absolute-residuals fit, 最小绝对残差拟合& J3 g7 _) Q2 B
Least-absolute-residuals line, 最小绝对残差线
) g( N" K3 ~: w4 e; e" HLegend, 图例9 n+ e' t1 X0 P3 |( t0 o- A6 I
L-estimator, L估计量( _: u z' D. K" U, t
L-estimator of location, 位置L估计量( F4 n" j( e, [ [6 W- L/ L
L-estimator of scale, 尺度L估计量 q+ |% u( ]5 O% V
Level, 水平5 f" o5 b$ U& h. d& u# B; @
Life expectance, 预期期望寿命
7 L/ D* A3 K C( H- F9 TLife table, 寿命表( M- G' G% ]! `
Life table method, 生命表法; V3 b' K# O l) c: W$ e
Light-tailed distribution, 轻尾分布# O4 m2 y/ c9 z! F+ q
Likelihood function, 似然函数
7 F7 x4 }& V1 u% r+ c2 m+ bLikelihood ratio, 似然比
5 g+ I6 }( _" O( cline graph, 线图. |+ X5 F9 U: ~" j/ i' J- ^5 |
Linear correlation, 直线相关: I y- {- b8 s( C
Linear equation, 线性方程6 g1 `7 L/ R4 h9 E
Linear programming, 线性规划
& M& \* g6 `( w, ?4 G8 pLinear regression, 直线回归
3 U6 x3 b8 W$ F- eLinear Regression, 线性回归- i+ E6 W& K# R5 d& G
Linear trend, 线性趋势
2 }% B' a$ n& D" }- a0 cLoading, 载荷
; [9 ]$ d( u/ f& o" N5 @Location and scale equivariance, 位置尺度同变性
# h; v5 T& _" ?4 W9 N% ^6 w: l$ k' yLocation equivariance, 位置同变性0 f: v$ u; _% j& O- M
Location invariance, 位置不变性
5 r* r6 {4 r B: x! LLocation scale family, 位置尺度族7 E+ b5 W a4 z+ A* U
Log rank test, 时序检验 , J& Q$ f6 G, @2 b
Logarithmic curve, 对数曲线
' }3 x! ?2 P2 r& ?5 C8 B. `) qLogarithmic normal distribution, 对数正态分布! T8 Q! m5 U/ S+ Y
Logarithmic scale, 对数尺度7 P2 [3 } M& |( i; H9 j
Logarithmic transformation, 对数变换6 Y! w0 p! e& W% f" n3 k; {" [9 h
Logic check, 逻辑检查
+ O4 C, Q; ~* f6 L' U) T1 ILogistic distribution, 逻辑斯特分布9 S. r! D. ~$ ~$ b
Logit transformation, Logit转换 I* Z2 Y+ Z2 X
LOGLINEAR, 多维列联表通用模型
& u1 J$ T" ]4 f2 g7 Q' \Lognormal distribution, 对数正态分布
, s- F8 a/ A* lLost function, 损失函数: `' B/ T0 y9 Z0 E- g% v$ u! \
Low correlation, 低度相关. v0 j, S1 J9 D# A
Lower limit, 下限' ?3 ]7 P; \9 U3 b2 h
Lowest-attained variance, 最小可达方差
7 r C! P! r# E% ~* o: g- qLSD, 最小显著差法的简称
7 H G3 F3 R" X5 I }. OLurking variable, 潜在变量8 k7 c: o5 o7 O9 h5 @; V8 m- r
Main effect, 主效应
# f% E8 {# f! A4 tMajor heading, 主辞标目2 E# w. \% k2 f7 T
Marginal density function, 边缘密度函数
) A j, V2 z7 i1 g$ Z/ X, yMarginal probability, 边缘概率- c$ @" |5 ?, Z) [1 b0 Z4 W
Marginal probability distribution, 边缘概率分布4 m5 \1 n7 H& a1 W/ H
Matched data, 配对资料6 X$ G0 d2 F! I5 \4 W) Z$ a
Matched distribution, 匹配过分布4 z3 z8 }0 D6 c$ Z4 w
Matching of distribution, 分布的匹配+ h5 Z" M. g7 _) q, U
Matching of transformation, 变换的匹配
1 C9 @# y& b% O8 m/ ~& y2 OMathematical expectation, 数学期望
/ |% N- N# ~' A5 h9 V- VMathematical model, 数学模型- l2 Y6 O0 f; ]. v: ^
Maximum L-estimator, 极大极小L 估计量- Q* C) A2 x: M- x! Z. p6 `
Maximum likelihood method, 最大似然法
1 f" } f% Z) q! fMean, 均数
7 H2 W; M( v1 H9 n6 M- t. K1 wMean squares between groups, 组间均方1 X( g: m0 [+ A6 \
Mean squares within group, 组内均方( ^ ~2 P8 v/ b; e; u5 y
Means (Compare means), 均值-均值比较2 j2 R0 f* V% p6 T2 X( g0 c# ]
Median, 中位数1 o* `$ [* y' `* Y4 m) E, z% D# O
Median effective dose, 半数效量
" P+ W/ d. {! G0 ?; oMedian lethal dose, 半数致死量
3 a' I- A" E3 f; O0 BMedian polish, 中位数平滑
+ q, `6 M0 {5 K" i: P. u% ^! iMedian test, 中位数检验" T4 M" E2 `( _% u' [( V
Minimal sufficient statistic, 最小充分统计量2 b) t1 } `/ r/ ?# W# ~9 G
Minimum distance estimation, 最小距离估计
1 E( ~. @3 V; ?Minimum effective dose, 最小有效量
# Z5 `( q8 C$ v' }( @9 ~! K1 pMinimum lethal dose, 最小致死量% G+ Y& B& g3 E6 P
Minimum variance estimator, 最小方差估计量' F) M J; p; m/ ~
MINITAB, 统计软件包, i+ v! c* G4 L8 m3 {, v2 D1 |7 I
Minor heading, 宾词标目
! [. E/ Z9 g! J% iMissing data, 缺失值' E" E$ t$ h; Z* O
Model specification, 模型的确定( p W4 ^# ]9 g& h/ m( v
Modeling Statistics , 模型统计" y. d! a9 n/ Y! X8 d5 ?
Models for outliers, 离群值模型
: F* c1 C! |. r9 A0 Q8 W# sModifying the model, 模型的修正# M- }8 O* I) W6 N7 Z
Modulus of continuity, 连续性模
3 U# p. n8 Z0 j% S5 E. l9 f bMorbidity, 发病率 2 b6 I$ q/ }* {& u: V
Most favorable configuration, 最有利构形+ ~* s5 [1 |" Z! F0 D, C
Multidimensional Scaling (ASCAL), 多维尺度/多维标度+ c: [; r) E8 e3 O5 d3 x* ?) x3 N b
Multinomial Logistic Regression , 多项逻辑斯蒂回归
6 P6 y9 [5 Z1 L0 tMultiple comparison, 多重比较( R/ [: j. }0 f7 _$ w
Multiple correlation , 复相关2 C3 S6 Y, t8 `& P" U$ Z( O; ]* O
Multiple covariance, 多元协方差
& D: _( v# k5 C3 HMultiple linear regression, 多元线性回归
1 x8 Y, Q# ] ?3 I- EMultiple response , 多重选项0 s! T$ n) r- z: K
Multiple solutions, 多解6 A1 g( p0 G* U0 }6 V- s9 Q) b* h
Multiplication theorem, 乘法定理" W- l1 {3 U5 A, h2 C& k
Multiresponse, 多元响应
- s* ]: ?. p/ X- bMulti-stage sampling, 多阶段抽样
8 m7 c: P; U8 o5 ?Multivariate T distribution, 多元T分布
2 ?; K5 U) k: N3 s: kMutual exclusive, 互不相容6 `+ j6 q& {7 }6 U G6 _
Mutual independence, 互相独立
( X) V* ?6 M6 I7 Q, zNatural boundary, 自然边界: }" n" W" [( f5 h
Natural dead, 自然死亡& j- x% q3 r6 F# S `! Q& i V- z
Natural zero, 自然零0 `& W5 C1 A7 H
Negative correlation, 负相关, h8 D5 ^7 u9 K+ R- V
Negative linear correlation, 负线性相关
( `) f; O; }2 M. lNegatively skewed, 负偏9 h/ g4 p8 k4 G: U3 M
Newman-Keuls method, q检验* \( Z$ W p5 J2 ]' o
NK method, q检验! F- L6 U$ q- ^$ V. M. @
No statistical significance, 无统计意义
8 |! W: I, w5 v4 e8 O! K9 jNominal variable, 名义变量
8 Y. @# y. y6 f+ n0 u) CNonconstancy of variability, 变异的非定常性9 ^+ c- Q4 y( h
Nonlinear regression, 非线性相关/ C/ w! A+ z& W/ p7 y" P( Q \; ]" r- T
Nonparametric statistics, 非参数统计/ k5 g7 G2 ]7 [
Nonparametric test, 非参数检验
+ A/ f8 x: h( z0 u% [: M6 D e. Y" HNonparametric tests, 非参数检验( m; S- C/ I* j) D- |6 I" Z. k
Normal deviate, 正态离差' |' o; i' B' b- E
Normal distribution, 正态分布
4 G% y" ` I, q0 Y, e$ f/ U# dNormal equation, 正规方程组
3 K! `8 O" ~: G/ |* Q# U \3 qNormal ranges, 正常范围2 k, {) Z( L# D' N& h
Normal value, 正常值
* ~' ^; M3 b- p" p4 }- FNuisance parameter, 多余参数/讨厌参数
t# ~, }1 a# ^: Z% G' M+ ^Null hypothesis, 无效假设 5 U/ n8 `( a( C7 t
Numerical variable, 数值变量* q8 ^9 D2 l4 K w3 N
Objective function, 目标函数: B# E: M# k- T: z) n ~( B
Observation unit, 观察单位
4 a5 W, h% d" c5 u& b: CObserved value, 观察值5 u. d( g8 e" K) y( G
One sided test, 单侧检验
& T8 i; _- D4 M2 |' rOne-way analysis of variance, 单因素方差分析# h1 G. a! g( B3 F5 j
Oneway ANOVA , 单因素方差分析
+ \ S* V$ ]' Q5 i# @Open sequential trial, 开放型序贯设计9 A0 V9 `3 e. C7 y' r
Optrim, 优切尾
$ R! `* f, L! eOptrim efficiency, 优切尾效率
3 p3 w3 c. w: m3 e/ q4 O4 C. L5 K( WOrder statistics, 顺序统计量
6 V. H+ x& S, w2 DOrdered categories, 有序分类1 p- t' w* C) W5 H, \! ^
Ordinal logistic regression , 序数逻辑斯蒂回归+ F) U a T# e9 P& G# J/ |
Ordinal variable, 有序变量2 p' B. J5 \ F. t d; z
Orthogonal basis, 正交基9 @$ K: R" m- E, ~
Orthogonal design, 正交试验设计
& F( y. t- `, n9 u. I uOrthogonality conditions, 正交条件2 y) @9 i% w" {/ V: X
ORTHOPLAN, 正交设计 , M' V5 K/ @. v1 S
Outlier cutoffs, 离群值截断点0 I, b8 N& u; U+ g! d
Outliers, 极端值3 O; B5 p5 G! }4 @
OVERALS , 多组变量的非线性正规相关
( u% r2 Y( D, p/ oOvershoot, 迭代过度
3 u9 _) S9 E3 `. U2 ], zPaired design, 配对设计
0 b1 J; p- B6 p4 t% c' U" iPaired sample, 配对样本8 o1 y6 j w X3 q! }; u
Pairwise slopes, 成对斜率
* `# h* Y$ g* f4 rParabola, 抛物线% Q1 F m& A; Q4 b! {' u
Parallel tests, 平行试验
3 w5 e2 p; T, kParameter, 参数
' a2 {7 G8 w0 M9 O5 T0 Q4 MParametric statistics, 参数统计0 H& e5 B: V3 P f3 x
Parametric test, 参数检验 |% }( p# t4 h- D
Partial correlation, 偏相关
' G% C$ ?: O, Z5 A$ |/ sPartial regression, 偏回归
8 T1 X7 Z/ f8 S2 Y2 z" V8 sPartial sorting, 偏排序
8 V- M1 V/ `! n9 ePartials residuals, 偏残差4 [4 P7 I3 @; E/ ^' v; h: z; f
Pattern, 模式; z5 }8 b3 U2 B9 g
Pearson curves, 皮尔逊曲线
. e; b( ?- y7 z; B2 o+ E& J0 nPeeling, 退层
8 X9 a! g4 n. z! R2 A2 ?" QPercent bar graph, 百分条形图9 a" C$ |& V# b. z' ^
Percentage, 百分比
# {2 d3 M3 q/ Q" E0 Q3 A3 J0 hPercentile, 百分位数& [( }; o B5 g1 _* [4 i
Percentile curves, 百分位曲线
" M p A0 f0 p3 `Periodicity, 周期性
) s4 a6 t! I) G) `. dPermutation, 排列
- j; j V6 i8 [& W" e" @0 U5 RP-estimator, P估计量1 q9 X, I- I8 q' c
Pie graph, 饼图
8 y4 S0 a8 C4 x$ k xPitman estimator, 皮特曼估计量
; p8 N* g& ]" Z3 [0 J" wPivot, 枢轴量; Q d* v/ t. s# v: `
Planar, 平坦
2 b- K0 n R' T3 R9 @: y9 qPlanar assumption, 平面的假设
2 P2 c5 W; T4 w3 T/ Y" YPLANCARDS, 生成试验的计划卡1 R+ o& k- O& f
Point estimation, 点估计
" _1 N; J! k5 s# c YPoisson distribution, 泊松分布+ T( a. p" S0 `8 w( |( X
Polishing, 平滑5 _3 b! D4 V) a
Polled standard deviation, 合并标准差
/ k! N: r# J6 [Polled variance, 合并方差
% U- k1 e1 l9 Z$ E1 S' qPolygon, 多边图; O- d* Z' K, T
Polynomial, 多项式) {( D- N/ O9 o' X' h K+ ?
Polynomial curve, 多项式曲线3 D% w" Y; A/ `
Population, 总体
5 M+ K, Q* w3 s. b9 r/ bPopulation attributable risk, 人群归因危险度4 p H O- S% Z
Positive correlation, 正相关! c0 l$ x0 ]- j" ]4 f
Positively skewed, 正偏
; Y' ^# \6 }; N( H0 PPosterior distribution, 后验分布/ K: D6 Z- J, p( ]" H
Power of a test, 检验效能) a1 j f( R5 {6 V* a" c# o
Precision, 精密度/ u8 U7 P9 a; s: }9 j8 D0 v
Predicted value, 预测值; A+ s6 |+ y: x& w# f
Preliminary analysis, 预备性分析
; }5 P" v o7 h" o" Y p# o6 A$ LPrincipal component analysis, 主成分分析, a! a% g; S3 p0 h9 P- Y
Prior distribution, 先验分布9 V4 r1 y. q2 G3 g. v
Prior probability, 先验概率4 L* T$ J1 C, X/ M
Probabilistic model, 概率模型
) a/ H& j2 M3 r9 Lprobability, 概率
+ U' ^9 t- s- k% p/ p6 aProbability density, 概率密度
2 X; ?4 `& o3 X; e8 ^2 }9 fProduct moment, 乘积矩/协方差
/ {$ r( H! y" J H& yProfile trace, 截面迹图
/ E+ h& Z& x8 t V* k5 \1 ] JProportion, 比/构成比1 k5 a' u/ w4 P2 _3 J$ N
Proportion allocation in stratified random sampling, 按比例分层随机抽样
5 D" L# c: D2 ]" o' v$ n$ sProportionate, 成比例
! X- v X( v" y# }9 E' ?Proportionate sub-class numbers, 成比例次级组含量
9 G W2 Z2 @. X8 G0 j0 a( WProspective study, 前瞻性调查
8 s! }' Y; L/ G; b+ ~, `7 E5 OProximities, 亲近性 9 T! R# @% f, C3 \2 l0 R! L
Pseudo F test, 近似F检验+ Y4 n1 ~! O8 Z. b3 @( D B! X
Pseudo model, 近似模型2 z, U8 o6 E! H7 Z3 }( H/ K
Pseudosigma, 伪标准差
( y% l% o! s/ R; n6 E) l' UPurposive sampling, 有目的抽样
' r6 z" ~; r+ b9 DQR decomposition, QR分解
0 ^4 w$ k7 k5 p b3 R) X- u6 d1 KQuadratic approximation, 二次近似 {" ^8 e5 [8 F( A4 f) r' {+ k
Qualitative classification, 属性分类
" ~2 `. ]4 Z6 |* pQualitative method, 定性方法
2 r: \9 y6 W& M! L1 a+ g, kQuantile-quantile plot, 分位数-分位数图/Q-Q图
. {$ J X2 u, f1 ?Quantitative analysis, 定量分析4 ]+ W, o/ [7 B. \. J% O& h
Quartile, 四分位数
5 Q/ C1 \( F& c' y4 F. v$ N' @7 CQuick Cluster, 快速聚类* U' W! ~& l# f4 L6 I5 i1 n
Radix sort, 基数排序
& k6 A2 {, b1 n$ n1 E) w2 m2 m8 RRandom allocation, 随机化分组) B' Q" U* K, o& ]9 d5 G) m' h
Random blocks design, 随机区组设计
. e) W3 Y# ^& M" xRandom event, 随机事件7 e X9 w7 @3 Z
Randomization, 随机化3 c3 w8 }( T: {! p4 N
Range, 极差/全距
) M& x- U2 K+ O' l/ IRank correlation, 等级相关
9 \3 E5 i# B; g5 ~$ t, MRank sum test, 秩和检验
4 W3 i# P( f1 @7 M0 u8 HRank test, 秩检验
6 u7 N( t( n# DRanked data, 等级资料- A' ~3 {# C* P$ p9 `5 P4 E
Rate, 比率& m+ j1 a' p; z8 t2 f7 D* B) f
Ratio, 比例
4 o0 V4 x. Z: K5 d1 H6 R' E: H) }Raw data, 原始资料
: x6 B, l2 w( V r( l }Raw residual, 原始残差
' h/ }9 E. Z9 ~- y; X+ y: ]Rayleigh's test, 雷氏检验
! t. J9 n6 ^9 t, I9 Q& CRayleigh's Z, 雷氏Z值 2 Q: J* ?/ e! E
Reciprocal, 倒数; k8 m3 A4 j1 W
Reciprocal transformation, 倒数变换
8 q& X, ]6 v, ?Recording, 记录
$ {& r6 |* _7 M9 ~Redescending estimators, 回降估计量
" t% o$ I$ A5 RReducing dimensions, 降维
5 h ~; K8 `# L( K! H% h0 ^+ e; hRe-expression, 重新表达
4 t) @# N2 o( o5 [Reference set, 标准组8 {( b! \6 r$ _
Region of acceptance, 接受域9 J" G, l2 Y8 b; o9 }
Regression coefficient, 回归系数
5 O! z2 `$ a/ B' s$ rRegression sum of square, 回归平方和
7 Z% r5 Q: `+ [Rejection point, 拒绝点& c: g& q7 y* a. F! U
Relative dispersion, 相对离散度
; G' o0 ?* ]& P! m4 P9 ^ IRelative number, 相对数# d, N1 u. Z+ d- F
Reliability, 可靠性
% | z( V8 U7 k; p+ n0 sReparametrization, 重新设置参数7 I j! L& l5 H0 U
Replication, 重复' g8 R$ @4 b& x% w( V
Report Summaries, 报告摘要# |8 S, d S9 ?2 |( H% q5 @" x
Residual sum of square, 剩余平方和) Z5 L! w$ g; }. t7 b0 @/ r4 ]" ?
Resistance, 耐抗性
- m% ] G2 v+ Y: u7 N, UResistant line, 耐抗线" u5 X/ j3 l1 q( O6 }, b
Resistant technique, 耐抗技术
* F; L3 n) ~/ L9 M3 n8 Y; HR-estimator of location, 位置R估计量0 M5 u8 V' \5 e+ R8 u/ ^
R-estimator of scale, 尺度R估计量/ [/ D. g4 v; W: U
Retrospective study, 回顾性调查
; k9 E4 _* O! p; R7 s& F% X/ IRidge trace, 岭迹: W- A# V( C$ e% A8 H* h; l7 e2 S D
Ridit analysis, Ridit分析
0 M* E5 ~ F4 |1 P1 _Rotation, 旋转: a/ q- W9 L4 J8 B3 K
Rounding, 舍入# m6 R p! c F% l+ X1 {7 f
Row, 行' ~' H$ ?( G4 V, [/ x' G. _
Row effects, 行效应- u" k7 E d% j# W& Z/ h
Row factor, 行因素( d n- h4 E0 H/ D6 l
RXC table, RXC表, Z% \# |" y3 O( U5 X8 W; j3 H, k
Sample, 样本
$ S% m, ]+ n4 ISample regression coefficient, 样本回归系数
& F* m. j7 o( [. h2 T/ I% rSample size, 样本量
% e' q1 r/ }5 r7 G8 B3 OSample standard deviation, 样本标准差. Y2 Y2 Q! x1 N; Z
Sampling error, 抽样误差" C" U `6 r) Z) l- Z
SAS(Statistical analysis system ), SAS统计软件包% B3 U6 G& d, W; b q5 i
Scale, 尺度/量表
1 j4 P& W0 T+ }) m5 b* R$ m1 @Scatter diagram, 散点图
) m" v" e( X# |: C- @Schematic plot, 示意图/简图4 s1 _6 U7 u; Z% X$ G' {
Score test, 计分检验8 `, Z9 v# N' U# @3 L
Screening, 筛检8 r! _- |0 U. f% a1 L$ T
SEASON, 季节分析 ! J. F- T& E/ _! [% t! M$ i
Second derivative, 二阶导数
! Y) h* G9 c5 D/ w" nSecond principal component, 第二主成分, C8 ?$ ^3 }; Y
SEM (Structural equation modeling), 结构化方程模型
* m5 g, ]% |* |8 qSemi-logarithmic graph, 半对数图) z( u' `3 ~+ u- j; m- j5 z: j
Semi-logarithmic paper, 半对数格纸
' U5 o/ l5 D3 GSensitivity curve, 敏感度曲线
, p& c5 ^+ |" I) q, |7 F* qSequential analysis, 贯序分析
7 d p; F; D7 [* r9 _# }Sequential data set, 顺序数据集& c/ }. }2 J3 E: z- _' q( }
Sequential design, 贯序设计
1 Z! @$ ]" J+ P5 c* s, y/ B! CSequential method, 贯序法; W- h( a/ H1 F2 L0 e: R
Sequential test, 贯序检验法
: V6 V: }4 Q5 i6 PSerial tests, 系列试验
" L" O* G+ s; t/ D7 M4 s" t. }5 UShort-cut method, 简捷法 , j1 Y, n5 r6 T' }' |) D& a
Sigmoid curve, S形曲线 g5 K! f- I% l A
Sign function, 正负号函数6 F: a( ]/ \) o" y9 r
Sign test, 符号检验2 h9 X4 n0 ^& }+ x# R; h9 M
Signed rank, 符号秩; t4 z* d! d6 T" q
Significance test, 显著性检验
8 m6 P# {1 m2 S1 [# ySignificant figure, 有效数字
! ~9 u4 J- z0 B" S; x, cSimple cluster sampling, 简单整群抽样, }0 \8 |! A( l7 L- W5 s
Simple correlation, 简单相关& t$ o4 h( J* U/ A% W7 g9 ~: K
Simple random sampling, 简单随机抽样
1 ]" T7 E% L( d F; ]& P# M A/ OSimple regression, 简单回归# k/ b% a _9 z: V l8 C/ E
simple table, 简单表 A% N( P1 L V
Sine estimator, 正弦估计量
D2 z2 q" j% }Single-valued estimate, 单值估计% J% ]% c! @% O7 m
Singular matrix, 奇异矩阵0 E ]# l6 g+ x) I( a" j6 z
Skewed distribution, 偏斜分布
9 l5 y6 \, E# V' R/ R) N3 s( X* wSkewness, 偏度
5 f2 p- q$ J* o+ NSlash distribution, 斜线分布6 P8 f$ D1 Z3 N' h* [# I
Slope, 斜率+ h4 \2 e2 } f- j9 |2 D# F
Smirnov test, 斯米尔诺夫检验2 f' D( o7 \ c# W/ K8 Y/ R
Source of variation, 变异来源9 m* F" G+ b" q( \
Spearman rank correlation, 斯皮尔曼等级相关
$ U& e% X: S1 u, cSpecific factor, 特殊因子# l& g! v& { q5 Q
Specific factor variance, 特殊因子方差: ?8 ~2 U" R6 ]- N7 \: `
Spectra , 频谱+ B6 E6 b3 U" R- R- B( ~
Spherical distribution, 球型正态分布, v3 x: h+ J2 G% M( O
Spread, 展布: n( U- x. N5 i L0 \
SPSS(Statistical package for the social science), SPSS统计软件包
" B; g8 D! v, }2 A+ \Spurious correlation, 假性相关/ z5 e" F B8 C& y
Square root transformation, 平方根变换, m2 V1 u! M0 h ~6 \5 U
Stabilizing variance, 稳定方差
' x! C5 D8 a& f/ G5 T- ^Standard deviation, 标准差 U( }* R. I: v/ }$ z" m
Standard error, 标准误
; t1 E( Y3 Y S% kStandard error of difference, 差别的标准误' y* M! \( k& _/ u. F. E
Standard error of estimate, 标准估计误差5 ]6 |* I4 G7 ? V
Standard error of rate, 率的标准误
* W9 p, R5 ~/ q( X0 l$ r2 p. nStandard normal distribution, 标准正态分布
; M7 y4 w" A8 |) vStandardization, 标准化
4 F! O) O. Y3 C9 ?% f5 K) d5 d; AStarting value, 起始值
: W( N( j+ j4 b7 b2 }& v+ iStatistic, 统计量& ~& f1 u! C% p# X" }. w
Statistical control, 统计控制8 i% S$ m1 g' ^4 q
Statistical graph, 统计图
% {7 U2 t" b _1 _1 ]4 qStatistical inference, 统计推断
8 z& i/ d; J( EStatistical table, 统计表
0 k+ y) q4 l1 Y% I8 z% aSteepest descent, 最速下降法( M& u8 G: _$ ~% A
Stem and leaf display, 茎叶图
$ m- ?# x* w2 w3 U, l- tStep factor, 步长因子, b2 `, Y2 B$ i( Z) \, x
Stepwise regression, 逐步回归
* h0 e. q/ }+ w Z" P LStorage, 存! h" w- Q) V2 k6 q, W) B' O9 I/ ^
Strata, 层（复数）
! W' b" n- |* t! ? T4 \Stratified sampling, 分层抽样# A; L) t: ~0 ? E: Q2 j
Stratified sampling, 分层抽样
: F/ }* Y. N0 W5 `3 C7 q0 N0 ]Strength, 强度
/ o6 C7 s7 W3 R0 \* ]. ]! gStringency, 严密性
' J* v* g5 d: |Structural relationship, 结构关系
8 r0 y0 ]& b4 A" v" R: R( S& JStudentized residual, 学生化残差/t化残差- _9 c3 z, k+ Q [* B
Sub-class numbers, 次级组含量! h6 P- n% m% N* M
Subdividing, 分割
0 `2 J9 ~7 U4 L' r( uSufficient statistic, 充分统计量
' g9 b& l( k% s: `Sum of products, 积和5 p1 J3 {* o R1 {2 T& r1 c
Sum of squares, 离差平方和
% ] P! W) [$ y+ p4 @$ C; P# pSum of squares about regression, 回归平方和
/ i4 K1 F' ^0 c+ oSum of squares between groups, 组间平方和
- ~. a* z; c+ _9 E+ \3 ISum of squares of partial regression, 偏回归平方和
2 C7 m$ @8 E2 E2 X7 m1 M* ESure event, 必然事件, I. Z! X4 ]! F6 n4 K. n
Survey, 调查
/ U: a" f, M% |Survival, 生存分析
1 i: Q, O8 E7 e7 u c, H3 JSurvival rate, 生存率# E% F+ d" C& F- _# X$ i B
Suspended root gram, 悬吊根图# U" h# U4 @% P* X
Symmetry, 对称
/ C9 O! |9 K6 r8 \$ T& lSystematic error, 系统误差$ u9 x7 Y& q) w
Systematic sampling, 系统抽样
( }" D; d" g) I6 Y8 l9 L4 oTags, 标签9 L$ w: Z% o4 P. y
Tail area, 尾部面积
& F$ m% Q1 K6 k% A- yTail length, 尾长 L0 K( O1 l, g) ^0 J! ?! D
Tail weight, 尾重, d1 i4 y, m) l/ X |
Tangent line, 切线
3 n8 j6 e" ]6 K6 GTarget distribution, 目标分布" x; d) h4 S. s* @
Taylor series, 泰勒级数$ C9 M# x& L$ b) g" ]+ V& p
Tendency of dispersion, 离散趋势3 s& Y h8 O) ~! D
Testing of hypotheses, 假设检验2 C. r6 ~) C+ {2 J0 }4 r
Theoretical frequency, 理论频数
- F; A2 ~0 s; hTime series, 时间序列8 \) R' @1 d& M
Tolerance interval, 容忍区间1 Y8 d6 c( |2 n( v0 o" n: K
Tolerance lower limit, 容忍下限
! o( V o: i! Y T6 q: O9 RTolerance upper limit, 容忍上限9 l5 l8 d# {( u! [+ ^- }9 k
Torsion, 扰率
' V. [& @. b5 Y2 _% b5 W$ p' \Total sum of square, 总平方和, U/ ]' |3 T. V8 k, R" w
Total variation, 总变异: z$ t& G0 {5 d7 S+ c. @4 ^, l
Transformation, 转换
4 u- |7 y9 ^$ B1 zTreatment, 处理
, x: M2 a$ a9 ^( l5 u# CTrend, 趋势' G; q0 ?5 ^ V
Trend of percentage, 百分比趋势
1 T8 G) t; G# Z' Q* N6 c1 d tTrial, 试验; Y( f+ q$ _) ~: l. ^6 |
Trial and error method, 试错法1 v; X& o4 W" F( Q
Tuning constant, 细调常数' t& B/ }/ Y' i0 w# U# V, F
Two sided test, 双向检验
; Z. g2 h0 T; F7 U. `Two-stage least squares, 二阶最小平方9 Q) L) u' @ j( `
Two-stage sampling, 二阶段抽样
9 S9 Y$ u& Y9 u4 G9 JTwo-tailed test, 双侧检验, s. e4 q- b, O0 }9 `/ N+ M
Two-way analysis of variance, 双因素方差分析
8 N% p9 v' T6 K+ g/ TTwo-way table, 双向表. c7 O" Y B7 v @
Type I error, 一类错误/α错误
' C0 k: t' u6 `8 ~5 w1 vType II error, 二类错误/β错误" ~3 ~7 _" p8 z* [& j% K
UMVU, 方差一致最小无偏估计简称" o( [8 W% t# B0 s# T6 h6 ?
Unbiased estimate, 无偏估计& T5 f' Y0 K0 ^' b, N) D" S
Unconstrained nonlinear regression , 无约束非线性回归& h/ A& E7 D; X! C
Unequal subclass number, 不等次级组含量, C3 ] u" F4 e5 y& U
Ungrouped data, 不分组资料
5 g$ K5 P0 s7 B; RUniform coordinate, 均匀坐标
" j4 U$ H+ o1 E9 j! g Y6 J( w# HUniform distribution, 均匀分布 b( n/ n+ g5 u
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计8 J& F* y2 k- E! u; x" n. G4 J% K2 u
Unit, 单元" J6 ]" l& `) \. r- m
Unordered categories, 无序分类9 M1 B' j3 ?& c
Upper limit, 上限
! H1 c, t; X R; VUpward rank, 升秩( o* F9 U3 j0 l- {; N, x1 K$ y
Vague concept, 模糊概念
; B& E; M& n; }0 J+ JValidity, 有效性
* T2 C5 K6 t. e$ j" Y5 g1 U0 lVARCOMP (Variance component estimation), 方差元素估计/ q7 I7 d, a+ z1 f/ g g$ R
Variability, 变异性
) }5 q& k5 @' F& X4 t$ }Variable, 变量
" E+ y& Z1 X ?& e" ?1 dVariance, 方差
9 H9 J* l, ]$ M- m+ v5 cVariation, 变异
/ m0 k+ N" _! p) MVarimax orthogonal rotation, 方差最大正交旋转
: l% S; w4 o$ a8 v9 t' [Volume of distribution, 容积
7 i, [, U" B- [% L2 mW test, W检验0 U! b7 p( O1 c. D, [
Weibull distribution, 威布尔分布
; `4 m( T, s/ ?" ?4 p8 Y8 C9 EWeight, 权数 x9 Q, _( b8 V c
Weighted Chi-square test, 加权卡方检验/Cochran检验
0 K( v( C# \/ y1 _3 v& _Weighted linear regression method, 加权直线回归' _1 n! d: Y7 D* X/ O1 u
Weighted mean, 加权平均数
" r3 B1 u' ], w5 Z2 j: ?Weighted mean square, 加权平均方差
& [9 u) X" y& C9 A/ B. |Weighted sum of square, 加权平方和3 n$ s+ L0 z0 u" ?1 i9 n# Q
Weighting coefficient, 权重系数
. @; G4 b$ \/ w+ L2 k2 {Weighting method, 加权法 3 z! N6 @) | P) I3 X2 K, S; g Y
W-estimation, W估计量" _* ]9 m' ]8 Y# M- M* q. h. T
W-estimation of location, 位置W估计量
9 ]6 I+ p0 K' ^% Y/ g' tWidth, 宽度$ E) V$ l; c1 s4 Z% P8 H. C; z
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验9 w3 ?- j) u' o8 ]' }) b
Wild point, 野点/狂点5 h6 s8 K- n1 C, ?. n
Wild value, 野值/狂值
6 h" {1 o0 |2 l" F8 u1 cWinsorized mean, 缩尾均值
- c1 a9 f; H. FWithdraw, 失访
7 F Y" P1 V3 T6 W" Y+ NYouden's index, 尤登指数$ b1 ]/ [* P# M' ?, ^
Z test, Z检验
. K4 b+ C+ t, A8 G% b. CZero correlation, 零相关
7 `8 H; Q2 a- G6 n/ V1 wZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
